Home — Spyder IDE
www.spyder-ide.orgSpyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution ...
Spyder :: Anaconda.org
https://anaconda.org/anaconda/spyderSpyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep ...
Spyder :: Anaconda.org
anaconda.org › anaconda › spyderSpyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep ...
Home — Spyder IDE
https://www.spyder-ide.orgOverview. Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive ...
Spyder :: Anaconda.org
https://anaconda.org/free/spyderSpyder is a powerful interactive development environment for the Python language with advanced editing, interactive testing, debugging and introspection features. Additionally, Spyder is a numerical computing environment thanks to the support of IPython and popular Python libraries such as NumPy, SciPy, or matplotlib.
Spyder :: Anaconda.org
anaconda.org › free › spyderSpyder is a powerful interactive development environment for the Python language with advanced editing, interactive testing, debugging and introspection features. Additionally, Spyder is a numerical computing environment thanks to the support of IPython and popular Python libraries such as NumPy, SciPy, or matplotlib.